New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Large language models already read, write, and answer questions with striking skill. They do this by training on vast ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...

Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning ...

If you’ve used generative AI—and I’m willing to bet you have—then you’re probably familiar with the importance of large language models (LLMs). LLMs are trained on massive amounts of historical data; ...

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely explore the rapidly emerging ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...